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Audio Mastering Records — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill
x402
Audio Mastering Records — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Computes a secondary-measure weighted mean and fills missing values in audio mastering records (integrated_lufs, true_peak_db) across up to 200 rows, producing 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Audio mastering — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill for supplied audio mastering records (integrated_lufs, true_peak_db). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns 2 analytical reports covering: (1) the secondary-measure weighted mean of the specified field (integrated_lufs or true_peak_db) across the supplied rows, and (2) explicit missing-value fill results using the chosen method (zero, mean, or median). Reports are computed locally with no external lookups.
Example use cases
Loudness audit across album assets
“I have 120 mastering records for tracks across three album groups — some integrated_lufs values are null. Can you compute the secondary-measure weighted mean for integrated_lufs using mean fill for the missing entries and give me the 2 analytical reports?”
True peak compliance check with gap filling
“My mastering engineer exported 80 session records but several true_peak_db entries are missing. Can you fill those gaps using zero imputation and compute the weighted mean for true_peak_db across all asset groups?”
Comparing loudness across broadcast asset groups
“I have two groups of broadcast audio assets — about 60 records total — and I need the secondary-measure weighted mean of integrated_lufs computed, with median used to fill any missing values, so I can compare the groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-15-187?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 audio mastering records containing integrated_lufs or true_peak_db values, some of which may be null, and you need both a weighted mean computation using a secondary measure and explicit missing-value imputation in a single call. It is purpose-built for audio loudness analytics and is preferable over general-purpose statistics tools when your data is already in the row/asset-group format this schema expects.
Side effects
- Rows array is empty or exceeds 200 items — validation error returned
- Invalid date format (not YYYY-MM-DD) in any row — schema validation failure
- Unknown field value outside enum [integrated_lufs, true_peak_db] — rejected
- Unknown fill method outside enum [zero, mean, median] — rejected
- All values for the target field are null — weighted mean may be undefined or filled entirely
- row_id missing or exceeds 80 characters — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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